DBMS > Hyprcubd vs. ReductStore vs. Transwarp Hippo

System Properties Comparison Hyprcubd vs. ReductStore vs. Transwarp Hippo

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Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Time Series DBMS

Vector DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.05
Rank	#357	Overall
	#37	Time Series DBMS

Score	0.00
Rank	#382	Overall
	#21	Vector DBMS

Website

hyprcubd.com (offline)

github.com/reductstore
www.reduct.store

www.transwarp.cn/en/subproduct/hippo

Technical documentation

www.reduct.store/docs

Developer

Hyprcubd, Inc.

ReductStore LLC

Initial release

2023

Current release

1.9, March 2024

1.0, May 2023

License

Commercial or Open Source

commercial

Open Source

Business Source License 1.1

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++, Rust

C++

Server operating systems

hosted

Docker
Linux
macOS
Windows

Linux
macOS

Data scheme

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

Vector, Numeric and String

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

gRPC (https)

HTTP API

RESTful HTTP API

Supported programming languages

C++
JavaScript (Node.js)
Python
Rust

C++
Java
Python

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

token access

Role based access control and fine grained access rights

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More resources

Recent citations in the news

10 top vector database options for similarity searches
8 August 2024, TechTarget

provided by Google News

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